Identifying and marketing to a user device involved in an online transaction

ABSTRACT

An online machine data collection and archiving process generates a machine data profile of a customer computer accessing a transaction form of a merchant web site and links the machine data profile and a transaction record with customer identifying information using a unique transaction identification string. The process may capture parameters typically communicated as a part of web accesses, such as an IP address, an HTTP header, and cookie information. The process additionally causes the customer computer to process self-identification routines by processing coding within the merchant transaction form, the self-identification routines yielding further profile parameters. The process further includes a routine for bypassing an intervening proxy to the merchant web site to reveal the true IP address of the customer computer. Identifying the customer computer is useful for functions such as fraud detection and marketing.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No.12/030,057, filed Feb. 12, 2008, which is a continuation of U.S.application Ser. No. 09/873,339, filed Jun. 5, 2001, now U.S. Pat. No.7,330,871, which claims the benefit of U.S. Provisional Application No.60/209,936, filed Jun. 7, 2000, each of which is incorporated byreference in its entirety.

BACKGROUND

The present invention relates to identity detection techniques and, moreparticularly, to a process for collecting and utilizingmachine-identifying data of computers and other online appliances usedin online interactions and transactions and associating the collectedmachine data with such online interactions.

The internet, or global computer network, represents a new medium formarketing similar to the way mail ordering and telephone ordering did inthe past. A downside of internet marketing is that it also presents newopportunities for unscrupulous persons to take advantage of themechanisms of Internet transactions by fraudulent and deceptivepractices. Merchants and financial institutions bear the initial costsof fraud. However, consumers ultimately pay the costs in the form ofprices and credit rates which must take into account losses from fraud.Internet purchases typically involve the use of web page forms which arefilled in by the customer with identity, address, purchase, shipping,and payment information and submitted to the online merchant forprocessing. Internet purchases are most often paid for by way of creditcards. While a merchant's software may be able to verify the existenceand status of a credit card account number and an authorization for aspecific amount, the merchant is often not able to match a credit cardnumber with a specific purchaser or shipping address. Thus, absent anyovert indication otherwise, a merchant generally assumes that anyoneusing a credit card is authorized to do so and that a customer is who heidentifies himself to be.

An important step in combating fraud is accurate identification of thecomputers through which customers make transactions and associating suchidentities with transactions which arouse suspicions or which ultimatelyturn out to be fraudulent. Basic machine identity is essential to themanner in which the internet operates. We speak in terms of “going” to aweb site. In reality, “going” to a web site involves sending a requestfor a web page file in a directory or folder on a computer located at aspecific internet protocol, or IP, address. In order for the web pagefile to be returned to the requesting computer for processing into adisplayed “web page”, the request must include return “directions” inthe form of the basic identity of the requesting computer, including itsIP address. Some web sites are implemented with software which enablesresponses to web page requests to be tailored to specifics of therequesting machine's configuration, specific web browser, and the like.For this reason, current versions of browsers usually communicateconfiguration information in addition to a return IP address and returnpath.

The IP address of a page requesting computer can give an indication ofthe specific country where the computer is located. Further,identification of a page-requesting computer can also recognize areturning user using the same computer as during a previous access. Forexample, placing an HTTP (hypertext transfer protocol) “cookie” on apage-requesting computer can make it possible to identify the computeron a later access.

Because direct interaction with a customer's computer is essential indetecting fraud, it has been assumed that any viable fraud detectionsoftware must be integrated with a merchant's software. As a result,most existing fraud detection solutions require merchants to eitherabandon or extensively modify their existing web-based transactionprocessing software. An additional problem with focusing fraud detectionat single merchants is that perpetrators of fraud often hit manymerchants in an attempt to avoid or delay detection. Thus, an idealsystem for fraud detection in online marketing would only minimallyaffect the merchant's existing software and would route fraud detectionefforts through a central, third-party entity serving a large multitudeof merchants.

SUMMARY

The present invention provides a process for collecting data associatedwith a customer's computer during access of a merchant, financial, otherhost web site, and associating a transaction identification number withthe data and with a transaction form of the merchant. Generally, thepresent invention captures machine identifying data from a computer orother digital appliance accessing a host web site, sends the captureddata to a machine data archive along with a unique transactionidentification string for storage in the archive and writes the sametransaction identification string into a transaction form through whichtransactions with the host web site are conducted. The machine data is,thus, associated with the customer identification data within thetransaction form by way of the transaction identification string and canbe used on-the-fly or at a later time for a variety of purposesincluding, but not limited to, fraud detection. Although the term“archive” is used, the machine data collected need not be storedpermanently.

The machine data collection process of the present invention is intendedto be employed in a variety of applications including, but not limitedto: online purchases and orders; online banking, bill payment, and fundstransfers; online registrations, such as for memberships, productwarranties, applications for credit, renewal of subscriptions andlicenses; online technical support; and the like. The term “transaction”is used in the present invention to describe an interaction effectedbetween a digital appliance and a host system. However, the term“transaction” is not intended to be restricted to only commercialinteractions involving purchases. The term “transaction” is intended toapply to an interaction of a remote digital appliance with a host systemusing a relatively anonymous type of access process over a digitalmedium in which some form of self-identification of the accessingappliance is inherent in the access process and in which the trueidentity of the accessing party, the true source address of theappliance on the medium, and/or the true machine characteristics of theaccessing appliance is/are essential or desirable to the interaction.

The host entity which operates the host system accessed is intended toencompass a commercial, financial, educational, governmental,associational, or other type of entity. The term “merchant” will be usedherein to refer to such a host entity without intent to limit thepresent invention to commercial transactions. The medium of access isintended to be interpreted as including a global computer network suchas the internet or world wide web, as well as other types of networkswhich may be less than global but which are publicly and/or anonymouslyaccessible. The term “internet” will be used herein to refer to themedium through which accesses to the host entity are made. The terms“customer computer” or “machine” are used herein to refer to a devicefor effecting remote access to a host system over a digital medium andare meant to encompass not only conventional types of personalcomputers, but also additional types of “digital appliances” with onlineaccess capabilities, such as: cell phones, personal digital assistantdevices, electronic game systems, television sets with online accesscapabilities, web appliances for vehicles, and any other type of devicewith online access capabilities whether connected to a wiredcommunications network directly or by a radiant technology.

The machine data collection process of the present inventioncontemplates a two party process embodiment in which a “merchant”processes and/or stores machine data profiles of customer computersin-house, as well as a three party process embodiment in which machinedata profiles of customer computers are processed and/or stored for themerchant by a third-party machine data collection and archive service.

In a two party embodiment of the data collection process of the presentinvention, the customer machine data is captured by a merchant or hostsystem which also generates a unique transaction identification (ID)string and assigns or associates the transaction ID with a machine dataprofile of the customer machine data profile. In the two party process,the merchant system captures customer computer data which is inherentlypassed from the customer computer to the merchant's web site, such as anIP address of the customer computer and an HTTP header. Additionally,according to the present invention, the merchant web page code may haveroutines or calls for external routines which, when processed by thecustomer computer, cause the customer computer to further identifyitself by collecting and returning certain machine and softwareconfiguration characteristics, which can be used to identify theparticular customer computer. The two party process may include thegeneration and setting of an HTTP cookie in the customer browser forrecognition upon a later access with the merchant web site.

Although the two-party embodiment of the machine data collection processof the present invention has utility for some applications, the threeparty embodiment is preferred for applications in which analysis of amaximum number of customer computer profiles is desirable, such ascertain types of marketing processes and fraud detection and controlprocesses. In a three embodiment of the present invention, the customermachine data of computers accessing the second party or merchant website is communicated to and stored within a third party system, referredto herein as a machine data archive service. In the three party process,the transaction ID could be generated by the merchant system, but ispreferably generated by the archive service. The use of the term“archive” is not meant to indicate that the customer machine dataprofiles are stored permanently within the third party system. Permanentstorage of such profiles may not be practical, as far as yieldingbeneficial results to the purposes for which the profiles are collected.Thus, the term “archive” is meant to indicate a central storagefacility, such as a database, with a selected retention period, withpurging of most profiles after a certain length of time.

In the three party process a routine or line of code is added into thehypertext markup language (HTML) code which defines the merchant's webpage, particularly an order or transaction form page. The added routineissues a request for a machine data collection (MDC) script to thethird-party web site when the form page code is processed by thecustomer's browser. When the script request is received by the machinedata archiving service (MDAS), the archive service generates a uniquetransaction identification (TA/ID) and checks for its own cookie. If noMDAS cookie is present, the archive service sends a cookie to therequesting computer along with a machine data collection (MDC) scripthaving the transaction ID embedded therein. The MDC script is executedby the customer's browser, causing collection of certain data from thecustomer's computer which is sent back to the archive service along withthe transaction ID and stored in a machine data profile in the machinedata archive. The transaction ID is written into the transaction form,and when the transaction form is submitted to the merchant web site, thetransaction ID string becomes a part of the transaction data record,along with customer identification, location, and financial information.

The machine data initially collected and stored in each profilepreferably includes the transaction ID, the apparent IP address of thecustomers computer, a conventional HTTP header which identifies thecustomers browser versions and certain configuration aspects of thebrowser, and the archive service's cookie. The combination of suchinformation, minus the transaction ID, will be relatively rare but maynot be unique. Additionally, customers intent on conducting fraudulenttransactions often hide their IP address behind HTTP proxies. In orderto further narrow the machine profile, in a preferred embodiment of thepresent invention, the MDC script performs additional machine profilingoperations: generation of a machine “fingerprint” and a proxy “piercing”operation.

In the fingerprint generation operation, the MDC script assembles anattribute string formed by various attributes or configuration settingsof the browser which can be queried by the script. The MDC script thenperforms a conversion process on the attribute string to generate afingerprint string having content which is a function of the originalcontent of the attribute string. The conversion process is preferably a“hashing” function which is, in effect, an irreversible encryptionalgorithm. The generation of a conventional checksum is one example of atype of hashing function. For example, if the attribute string is formedby alphanumeric characters, the conversion process is performed on thestring of codes representing the characters. The particular conversionprocess or hashing function used may be one of many types ofconventional conversion algorithms or hashing functions, which aretypically used for data integrity tests. The resulting string from theMDC conversion process is a so-called fingerprint, which is returned tothe archive service along with the transaction ID for storage in themachine profile. A time value, queried from the customer computertime-of-day clock, is returned with the fingerprint string and stored inconjunction therewith.

An HTTP proxy is one of several types of proxies through which a browsermay be setup to operate. Setting up an HTTP proxy causes HTTP requeststo be relayed by a primary gateway, through which the computer actuallyinterfaces to the internet, to a remote secondary gateway, or proxy,with an IP address different from the primary gateway IP address. Suchredirection hides the true IP address of a computer. The proxy piercingoperation of the MDC script queries the customer computer for any LAN(local area network) address which may be assigned to the computer andreads the system time of day clock. Then attempts are made to send theLAN address, if any, the time value, and the transaction ID to thearchive service using a protocol which will not be redirected throughthe HTTP proxy, for example a lower level protocol such as TCP/IP or UDPprotocols. If the attempt is successful, the message containing the timevalue, the transaction ID, and LAN address arrive at the archive serviceweb site with the true return IP address of the customer computer,whether an HTTP proxy intervenes or not. The LAN address and IP addressso derived are stored in the machine profile. It should be noted thatthe use of an HTTP proxy is not, of itself, an indication of fraud.However, the acquisition of an additional IP address is one moreparameter with which to identify a particular computer.

When, and if, the customer submits the transaction form to the merchant,the transaction ID string is communicated to the merchant, along withother customer information such as name, address, credit card number andthe like plus transaction information. The complete transaction recordis stored on the merchant's system and is associated with a specificmachine identity profile within the archive service by way of thetransaction ID string. Thereafter, the stored machine identity profilesand transaction records of large numbers of transactions can be analyzedby various fraud detection techniques to detect patterns of fraud andfraud attempts and, preferably, identify and locate the sources of suchactivity.

The machine data profiles stored in the archive service need not becombined with the customer identification information for non-suspicioustransactions, to thereby preserve the privacy of non-suspiciouscustomers within the machine data archive. However, the processes of thepresent invention do not require that the customer identificationinformation be kept separated from any associated machine data profiles,and there may be reasons to combine the associated records.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a simplified block diagram illustrating a plurality ofcustomer and merchant computers interfaced to the internet along with amachine data archiving service computer for practicing the machine datacollection process of the present invention.

FIG. 2 is a simplified block diagram illustrating connection of acustomer computer to the internet, with optional components shown inphantom lines.

FIG. 3 is a flow diagram illustrating principal steps of the machinedata collection and archiving process according to the presentinvention.

FIG. 4 is a flow diagram illustrating more detailed steps of the machinedata collection and archiving process according to the presentinvention.

FIG. 5 is a flow diagram illustrating a still further detailed steps inthe machine data collection and archiving process of the presentinvention.

Various objects and advantages of this invention will become apparentfrom the following description taken in relation to the accompanyingdrawings wherein are set forth, by way of illustration and example,certain embodiments of this invention.

The drawings constitute a part of this specification, include exemplaryembodiments of the present invention, and illustrate various objects andfeatures thereof

DETAILED DESCRIPTION

As required, detailed embodiments of the present invention are disclosedherein; however, it is to be understood that the disclosed embodimentsare merely exemplary of the invention, which may be embodied in variousforms. Therefore, specific structural and functional details disclosedherein are not to be interpreted as limiting, but merely as a basis forthe claims and as a representative basis for teaching one skilled in theart to variously employ the present invention in virtually anyappropriately detailed structure.

Referring to the drawings in more detail:

The reference numeral 1 (FIG. 3) generally designates a process foronline collection of machine identifying or profiling data of computersinvolved in commercial transactions and for archiving such data tofacilitate analysis for fraud detection purposes. The process collectsmachine identifying or profiling data of computers involved incommercial transactions and archives such data in a third-party machinedata archive service in association with a transaction identificationstring or ID which is also written into a transaction form of a merchantwith whom the customer is conducting a transaction.

FIG. 1 illustrates a plurality of host entities or merchants withcorresponding merchant computers 2, on which are operated merchant websites 3 which are accessible over a global computer network, such as theinternet 4, by a plurality of customer computers 5. The merchantcomputers 2 execute various programs which enable the sale of productsor services by way of the internet 4. The merchant web sites 3 typicallymake use of form type web pages with which the customers 5 interact byfilling in various data fields, for example, name, address, shippingaddress, telephone number, credit card type and number and expirationdate, and description and quantities of products to be ordered.

The merchant transaction forms are usually written in hypertext markuplanguage (HTML) and may include requests for code written in otherlanguages, such as Java and the like. When a customer 5 accesses amerchant's transaction form, a transaction form file is communicated tothe customer's computer with various data fields displayed as fill-inboxes or the like. The customer fills in the appropriate fields andselects a submit “button” which activates a routine to transfer thecollected information back to the merchant web site 3 for processing.The returned “form” is a data record 6 which is stored in a merchanttransaction database 7 for retrieval and processing in due course tocause the ordered items to be gathered, packaged and prepared forshipment, along with financial processing to debit the customer's creditaccount. The financial processing may include a validity check of thecredit account and an authorization check for the amount of purchasewith the credit card issuer. Additionally, inventory managementprocesses are executed based on the items withdrawn from stock forshipment.

In a three party embodiment of the present invention, the process 1makes use of an entity referred to herein as a machine data archivingservice, MDAS or archive service, which operates an archive servicecomputer system 15, including an archive service web site 16. Thearchive service system 15 maintains a machine data archive servicedatabase or archive 17 in which the machine data collection profiles 18from customer computers 5 of the merchants 2 are stored. The archiveservice web site 16 is interfaced to the internet 4. The archive service15 is preferably independent of the merchants and may be operated by amerchants' association, a financial institution or association thereof,or may be an independent contractor. Alternatively, it is conceivablethat a merchant with a high volume of online sales could operate its ownin-house machine data profile collection and archiving service 15, forfraud detection or possibly for marketing purposes.

Referring to FIG. 2, a customer computer system 5 includes a customercomputer 20 interfaced to the internet 4 by way of a primary gateway 22,as of an internet service provider (ISP). The computer 20 might be oneof many on a local area network or LAN 24 which includes a router orswitch which routes data from the internet 4 to the computers on thenetwork. The computer 20 may communicate through the internet 4 by wayof a HTTP (hypertext transfer protocol) proxy 26, which disguises theinternet protocol (IP) address of the actual gateway 22. The computer 20accesses web sites on the internet 4 using a customer web browser 28which processes HTML language and various other standard web orientedlanguages to display or otherwise render the content of web pages andinteract therewith. The browser 28 is normally enabled to accept“cookies” 30 which are stored in a cookie file. Cookies 30 are datastrings which are issued by web sites and give an indication of aprevious visit to a particular web site and may indicate a particularconfiguration or set of preferences of the customers setup of thecomputer 20. Typically, the customer computer 20 has a time of dayclock/calendar 32.

The customer computer 20 may have a fixed IP address, depending on themanner in which it is interfaced to the internet. More commonly, thecustomer computer 20 will have a temporary or dynamically assigned IPaddress which is determined by the primary router 22. The primary router22 has an IP address, as do a router of a LAN 24 or an HTTP proxy 26 ifeither is present in the customers computer system 5.

FIG. 3 illustrates the principal actions or steps of a general or basicprocess 34 of the process 1 for collecting machine identifying data fromcustomer computers 5. At step 35, at least one machine identifyingprofile parameter is captured upon access of a customer computer 5 orother online access device with a host or merchant web site 3. A uniquetransaction identifier or TA/ID is generated at 36 and associated at 37with the captured profile parameter. The transaction ID is alsoassociated at step 38 with a transaction record generated as a result ofthe interaction or transaction conducted between the customer computer 5and a merchant web site 3. Although not specifically shown in FIG. 3,the process 34 may capture machine profile data that is passed from thecustomer computer 5 to the merchant computer 3 as an inherent step ofthe customer computer 5 accessing the merchant computer 3.Alternatively, the process 34 may pass routines to the customer computer5 to cause it to “self-identify” itself by querying certainconfiguration parameters and passing such information to a machineprofile stored either within the merchant's system 2 or in a third partyarchive 17. The process 34, thus, encompasses a two-party embodiment ora three party embodiment of the machine data collection and archivingprocess 1 of the present invention.

Referring particularly to FIG. 4, a more particular three partyembodiment of the machine data collection and archiving process 1 beginsat step 40 with the coding of a machine data collection (MDC) scriptrequest into the web page code for a transaction form of a merchant website 3. When a customer 5 accesses the merchant transaction form at step42, the customer browser 28 processes the transaction page code,including the MDC script request, which causes the MDC script request tobe communicated to the archive service web site 16 at step 44. Thescript request arrives at the archive service 15 with a set of customermachine parameters which principally provide a return path for the MDCscript from the archive service 15 to the customer 5. The customermachine parameter set preferably includes “user agent” information,which is the version of the customer browser 28.

At step 46, the archive service 15 generates a unique transaction IDstring and associates it with the customer machine parameter set in theMDAS archive 17. At step 48, the archive service returns the MDC script,with the transaction ID embedded within it, to the customer browser 28.At step 50, the customer browser 28 processes the MDC script which, at aminimum, writes the transaction ID string into the merchant'stransaction form. Assuming that the customer 5 completes the transactionand submits the transaction form to the merchant 2 at step 52, thetransaction ID string is stored with the transaction data record 6 inthe merchant transaction database 7. The transaction ID, thus,indirectly associates the machine data parameter set 18 stored in theMDAS archive 17 at step 54 with the customer identity information storedwith the transaction data record 6 in the merchant's transactiondatabase 7. Thereafter, qualified parties may access the MDAS archive 17for information related to a transaction ID.

The MDAS archive 17 need not contain any information which specificallyidentifies a particular customer, only the machine parameter profiles 18with associated transaction ID strings. The MDAS archive records 18 canbe analyzed in conjunction with the merchant transaction records forpatterns of fraud or for other purposes. The great majority of MDASarchive records can be purged from the archive 17 after a selectedperiod of time. Any records which are associated with any transactionirregularities or suspicions of actual fraud may be retained longer.

FIG. 5 illustrates the principal steps of a preferred embodiment 60 ofthe machine data collection and archiving process 1 of the presentinvention. The process 60 begins with the addition at 62 of a machinedata collection (MC) script to the transaction (TA) form page code of amerchant web site 3. The transaction form page code is processed at 64by a customer browser 28 when the merchant web page is accessed tothereby request the MDC script at 66 from the Machine data archiveservice (MDAS) web site 16. When the browser 28 accesses the MDAS website 16, requesting the MDC script, the MDAS web site checks for thepresence of an MDAS cookie at step 68. If no MDAS cookie is detected, anMDAS cookie is generated at 70 and a unique transaction identification(TA/ID) string is generated at 72. The MDC script, transaction ID, andcookie, if not previously set, are returned at 74 to the customerbrowser 28, the transaction ID being embedded within the MDC script.

When the MDC script is received by the browser 28, it is executed at 76.The cookie is stored in the cookie file 30, or possibly in the memory ofthe customer computer 20. Execution of a preferred MDC script causesseveral actions to be performed. The MDC script writes the transactionID into the transaction form at step 78. The script can do this byeither setting an existing variable of an appropriate name to thetransaction ID string or by writing an appropriate variable into thetransaction form page and setting its value to the transaction IDstring. Additionally, the preferred MDC script generates a “fingerprint”of the customer computer 20 at step 80 and attempts to perform a proxypiercing operation at step 82.

In generating the machine fingerprint at 80, the MDC script queries thebrowser 28 for a number of attributes and settings and concatenates theresults into an attribute string at 84. The MDC script then performs ahashing algorithm on the attribute string at 80 to generate afingerprint string which has a high degree of uniqueness. Hashingfunctions are irreversible encryption processes in which the result isdependent on the original content of the data on which the hashingalgorithm is operated. Hashing functions are commonly used for dataintegrity checking. As previously stated, a common checksum is theresult of a type of hashing function. The particular hashing functionemployed preferably maximizes the uniqueness of the resultingfingerprint.

At step 86, the customer computer clock 32 is queried for a current timevalue. At step 88, the fingerprint, the transaction ID, and the timevalue are communicated to the MDAS web site 16 along with an HTTP headerwith cookie and “apparent” IP address, all of which are stored as amachine data profile 18 within the MDAS archive 17.

At step 90, the MDC script adds a proxy piercer request to thetransaction form which, when executed by the browser 28 at step 92,sends a request for a proxy piercer applet or code to the MDAS web site16. When the proxy piercer applet/code is executed by the browser 28 at94, a time value from the clock 32 is again queried at 96 and anyexisting local area network (LAN) address is queried at 98. At step 100,the proxy piercer applet/code sends the time value, the LAN address (ifany), and the transaction ID to the MDAS web site 16 by a protocol whichbypasses any existing HTTP proxy 26. The protocol used is one which isat a lower level than HTTP, such as UDP (user datagram protocol) or,preferably, TCP/IP (transmission control protocol/internet protocol).

Bypassing the HTTP proxy 26 causes the data sent in step 100 to arriveat the MDAS web site 16 with the IP address of the primary gateway 22,which may be different from any apparent IP address previously recordedif an HTTP proxy 26 intervenes. If the proxy piercer procedure 82 issuccessful, the primary gateway IP address is stored at step 102 withinthe machine data profile 18 identified by the transaction ID. It shouldbe noted that some types of proxies, such as some types of firewalls,may block all non-HTTP protocol packets, so that the proxy piercerprocedure 82 might not be successful in all cases.

If the customer completes the transaction with the merchant web site 3,the transaction form is submitted at step 104, which causes thetransaction record 6, including the transaction IID, to be stored atstep 106 in the merchant database 7 for processing.

Following are examples of code for an MDC script, as from steps 40 or62. Assuming the machine data archiving service or MDAS web site 16 hasthe fictional URL (uniform resource locator) example-url.net and aspecific merchant has a merchant identifier MMM, a line of HTML code isadded at step 40 to the transaction form of merchant MMM between the<form> and </form> HTML tags which has the form:

script src=https://www.example-url.net/s/?MMM></script>-;

When the customer browser 28 processes the transaction form at step 42,it requests a script file from the source URL:https://www.example-url.net/s/?MMM.

At step 44, the customer web browser 28 requests the MDC script by wayof the HTTP protocol. The HTTP request includes the merchant ID the useragent (browser version), the IP address of the customer's HTTP proxy,and any HTTP cookies previously sent to the customer bywww.example-url.net. Upon receiving this information, the archiveservice 16 records this information in a machine data record which alsoincludes the transaction ID.

Upon receiving the file request, the archive service 16 generates aunique transaction ID (represented below as ZZZ) at step 46 to beassociated with the transaction and the machine parameter set. Anexemplary transaction ID is a string of 24 letters and digits. The firsteight digits form a time stamp which is a hexadecimal representation ofthe seconds elapsed since midnight Jan. 1, 1970 UTC (coordinateduniversal time).

In the preferred embodiment of the process 1, the MDC script is writtenin an ECMAScript compliant language, such as JavaScript, JScript, orVBScript. A JavaScript version of the MDC script is as follows(linebreaks and indentations added for clarity):

 document.write(“<input name=transactionid type=hidden value=ZZZ>; d=new Date( )  t=3600*d.getHours( )+60*d.getMi- nutes( )+d.getSeconds();  document.write(“<img height=1 width=1 src=https://www.example-url.net/t/?i=ZZZ&t=”+t+“>”);  document.write(“<applet height=1 width=1codebase=https://www.example-url.net/ code=a/?ZZZ> <param name=ivalue=ZZZ></applet>”);

The exemplary MDC script includes the unique transaction ID value inseveral places. When the script executes on the customer computer 20, itwrites HTML code into the merchant's order form. Specifically:

1) The script adds a hidden variable called “transaction” ID to themerchant's transaction form and assigns it the value of the transactionID (ZZZ). When the transaction form is submitted, the merchant receivesthe transaction ID and can associate it with the transaction datarecord.

2) The script computes the seconds elapsed since midnight on the clock32 and writes a request for a 1 pixel by 1 pixel image. Included in therequest is the transaction ID and the time value. When the requestexecutes, this data is sent back to the archive service 16 and recordedwith the transaction ID in the MDAS archive 17.

3) The script adds a request for a program located at the archiveservice web site 16 which, in this example, is a Java applet. The appletdownloads to the customer computer 20 from the archive service 16 andexecutes, appearing as a 1 pixel by 1 pixel image on the transactionform. The transaction ID is passed to the program as a parameterspecified in the script. The program performs three tasks:

a) it calculates TTT, the seconds elapsed since midnight on the systemclock 32;

b) it calculates AAA, the address of the customer 20 on its own localarea network 24; and

c) it sends this data back to the archive service 16 via TCP/IP, byrequesting the following URL:

http://www.example-url.net/d/?i=ZZZ&t=TTT&a=AAA

The archive service 16 receives the message which includes theparameters TTT, AAA, and ZZZ. The message also includes the IP addressof the sender. This address is the customer's actual IP address, whichin some cases is different from the HTTP proxy IP address. The archiveservice 16 records this information in the MDAS archive 17 andassociates it with the transaction ID ZZZ.

The machine data collection and archiving process 1 of the presentinvention has been described with a particular application in frauddetection. However, it is foreseen that the techniques of the presentinvention have a wider application, as for marketing or computer supportpurposes, or other functions. While the process 1 has been describedwith reference to the internet 4 or world wide web, it is alsoconceivable that the process 1 could be employed on computer networks ofless than global expanse, such as a large intranet, a national orregional network, or the like.

Therefore, it is to be understood that while certain forms of thepresent invention have been illustrated and described herein, thepresent invention is not intended to be limited to the specific forms,arrangement of parts, sequence of steps, or particular applicationsdescribed and shown.

1. A method for identifying a user device involved in an onlinetransaction with a merchant web site, the method comprising: receiving acommunication from a customer browser of a user device responsive to aredirect script request delivered to the customer browser in response toaccessing by the customer browser a merchant web site to effect anonline transaction, wherein the redirect script request causes thecustomer browser to communicate with an archiver to deliver a scriptrequest; returning a machine data collection script from the archiver tothe customer browser in response to the script request, the machine datacollection script collecting information, including machine identifyinginformation, of the user device; and storing a transaction recordcomprising information related to the online transaction including atransaction identification string for use in identifying the onlinetransaction, wherein the transaction identification string associatesthe machine identifying information with the transaction record forpurposes of monitoring for possible fraudulent transactions, wherein themonitoring is based at least in part on the machine identifyinginformation; and monitoring additional transactions to identify one ormore devices to provide marketing to a customer based at least in parton the machine identifying information and the transactionidentification string.
 2. The method of claim 1, further comprising:storing an archiver record comprising the machine identifyinginformation and the transaction identification string, wherein thetransaction identification string associates the archiver record withthe transaction record for purposes of monitoring for possiblefraudulent transactions.
 3. The method of claim 2, wherein the archiverrecord comprises a second transaction identification string associatedwith another online transaction involving the user device.
 4. The methodof claim 1, wherein the machine identifying information comprises aconfiguration setting.
 5. The method of claim 1, wherein the user deviceis a mobile communication device.
 6. The method of claim 1, wherein theuser device is an electronic game system.
 7. The method of claim 1,wherein the user device is a television set.
 8. The method of claim 1,wherein the user device is a web appliance for a vehicle.
 9. A methodfor online fraud detection, the method comprising: receiving one or morecommunications from a user device, the communications related to anonline transaction; determining device identification information fromone or more of the received communications, wherein the deviceidentification information identifies the user device; storing thedevice identification information in association with the onlinetransaction; and monitoring additional transactions to identify one ormore devices to provide marketing to a customer based at least in parton comparing the stored device identification information for the onlinetransaction with information about one or more other onlinetransactions.
 10. The method of claim 9, wherein determining deviceidentification information from one or more of the receivedcommunications comprises: sending a script to the user device, whereinthe script comprises instructions to cause the user device to obtainattributes and/or configuration settings of the user device; andreceiving the obtained attributes and/or configuration settings of theuser device from the script running on the user device.
 11. The methodof claim 9, wherein determining device identification information fromone or more of the received communications comprises: sending a scriptto the user device, wherein the script comprises instructions to causethe user device to convert information about the user device into amachine fingerprint; and receiving the machine fingerprint from thescript running on the user device.
 12. The method of claim 11, whereinthe machine fingerprint comprises a hash function of a string comprisingthe information about the user device.
 13. The method of claim 9,wherein determining device identification information from one or moreof the received communications comprises: determining the deviceinformation based on inherent information in the communications from theuser device.
 14. The method of claim 9, wherein determining deviceidentification information from one or more of the receivedcommunications comprises: obtaining configuration information based on amessage sent from the user device; and determining the deviceinformation based on the obtained configuration information.
 15. Themethod of claim 14, wherein the obtained configuration informationcomprises information contained in an HTTP header of a message sent fromthe user device.
 16. The method of claim 9, wherein the deviceidentification information is determined based at least in part on oneor more configuration settings of a browser program being executed onthe user device.
 17. The method of claim 9, wherein the deviceidentification information is determined based at least in part on atime of day extracted from a clock on the user device.
 18. The method ofclaim 9, wherein the device identification information is determinedbased at least in part on time configuration settings of a clock on theuser device.
 19. The method of claim 9, wherein determining deviceidentification information comprises: sending to the user device aroutine, the routine containing instructions to cause the user device tosend a message that bypasses any HTTP proxy; receiving the message; andobtaining an actual IP address for the user device, the actual IPaddress associated with the message.
 20. The method of claim 9, whereinthe device identification information is stored in connection with acustomer identity profile, wherein the customer identity profile isassociated with a plurality of user devices.
 21. The method of claim 20,wherein the customer identity profile further includes one or more of aname, address, and credit card information for a customer.
 22. Themethod of claim 9, wherein the device identification information isstored in connection with a customer identity profile, wherein thecustomer identity profile is associated with a plurality of onlinetransactions.
 23. The method of claim 9, wherein the online transactionis a purchase.
 24. The method of claim 9, wherein the user device is amobile communication device.
 25. The method of claim 9, wherein the userdevice is an electronic game system.
 26. The method of claim 9, whereinthe user device is a television set.
 27. The method of claim 9, whereinthe user device is a web appliance for a vehicle.
 28. A method foronline fraud detection, the method comprising: communicating with a userdevice in connection with an online transaction; identifying a set ofdevice settings of the user device based on the communicating;generating a machine data profile for the user device based on thedevice settings, wherein the machine data profile identifies the userdevice; storing the machine data profile in association with the onlinetransaction; and analyzing information related to the online transactionand the machine data profile along with information related to at leastone other online transaction to identify one or more devices to providemarketing to a customer.
 29. The method of claim 28, wherein identifyingthe set of device settings of the user device comprises: sending ascript to the user device, wherein the script comprises instructions tocause the user device to obtain attributes and/or configuration settingsof the user device; and receiving the obtained attributes and/orconfiguration settings of the user device from the script running on theuser device.
 30. The method of claim 28, wherein identifying the set ofdevice settings of the user device comprises: sending a script to theuser device, wherein the script comprises instructions to cause the userdevice to convert information about the user device into a machinefingerprint; and receiving the machine fingerprint from the scriptrunning on the user device.
 31. The method of claim 30, wherein themachine fingerprint comprises a hash function of a string comprising theinformation about the user device.
 32. The method of claim 28, whereinidentifying the set of device settings of the user device comprises:identifying the set of device settings based on inherent informationbased on the communicating with the user device.
 33. The method of claim28, wherein identifying the set of device settings of the user devicecomprises: obtaining configuration information based on a message sentfrom the user device; and determining the device information based onthe obtained configuration information.
 34. The method of claim 33,wherein the obtained configuration information comprises informationcontained in an HTTP header of a message sent from the user device. 35.The method of claim 28, wherein the device identification information isdetermined based at least in part on one or more configuration settingsof a browser program being executed on the user device.
 36. The methodof claim 28, wherein the machine data profile is generated based atleast in part on a time of day extracted from a clock on the userdevice.
 37. The method of claim 28, wherein the machine data profile isgenerated based at least in part on time configuration settings of aclock on the user device.
 38. The method of claim 28, whereinidentifying the set of device settings of the user device comprises:sending to the user device a routine, the routine containinginstructions to cause the user device to send a message that bypassesany HTTP proxy; receiving the message; and obtaining an actual IPaddress for the user device, the actual IP address associated with themessage.
 39. The method of claim 28, wherein the machine data profile isstored in connection with a customer identity profile, wherein thecustomer identity profile is associated with a plurality of userdevices.
 40. The method of claim 39, wherein the customer identityprofile further includes one or more of a name, address, and credit cardinformation for a customer.
 41. The method of claim 28, wherein themachine data profile is stored in connection with a customer identityprofile, wherein the customer identity profile is associated with aplurality of online transactions.
 42. The method of claim 28, whereinthe online transaction is a purchase.
 43. The method of claim 28,wherein the user device is a mobile communication device.
 44. The methodof claim 28, wherein the user device is an electronic game system. 45.The method of claim 28, wherein the user device is a television set. 46.The method of claim 28, wherein the user device is a web appliance for avehicle.
 47. A method for online fraud detection, the method comprising:receiving communications related to a plurality of online transactions,each online transaction associated with a user device from a pluralityof user devices; determining device identification information from thereceived communications, wherein the device identification informationdetermined from a communication related to a particular onlinetransaction identifies the user device associated with that onlinetransaction; storing the device identification information for theplurality of user devices in association with transaction informationrelated to the online transactions associated with the plurality of userdevices; and analyzing the stored device identification and transactioninformation to identify one or more devices to provide marketing to acustomer by comparing the stored device identification and transactioninformation for multiple online transactions.
 48. The method of claim47, wherein determining device identification information from one ormore of the received communications comprises: sending a script to theuser device, wherein the script comprises instructions to cause the userdevice to obtain attributes and/or configuration settings of the userdevice; and receiving the obtained attributes and/or configurationsettings of the user device from the script running on the user device.49. The method of claim 47, wherein determining device identificationinformation from one or more of the received communications comprises:sending a script to the user device, wherein the script comprisesinstructions to cause the user device to convert information about theuser device into a machine fingerprint; and receiving the machinefingerprint from the script running on the user device.
 50. The methodof claim 47, wherein determining device identification information fromone or more of the received communications comprises: determining thedevice information based on inherent information in the communicationsfrom the user device.
 51. The method of claim 47, wherein determiningdevice identification information comprises: sending to the user devicea routine, the routine containing instructions to cause the user deviceto send a message that bypasses any HTTP proxy; receiving the message;and obtaining an actual IP address for the user device, the actual IPaddress associated with the message.
 52. The method of claim 47, whereinthe device identification information for each of a plurality of userdevices is stored in connection with one or more customer identityprofiles.
 53. The method of claim 47, wherein the user device is amobile communication device.
 54. The method of claim 47, wherein theuser device is an electronic game system.
 55. The method of claim 47,wherein the user device is a television set.
 56. The method of claim 47,wherein the user device is a web appliance for a vehicle.